Crusoe vs Modal

Vertically integrated power sourcing across wind, solar, hydropower, geothermal, natural gas, and carbon capture

Machines are deployed quickly when they are launched

Persistent and shared disks, object storage, and a container registry for AI datasets

Provides instances with NVIDIA SXM GPU interconnects

99.5% uptime commitment backed by 24/7 enterprise-grade support

LLM inference with up to 9.9x faster time-to-first-token and 5x higher throughput versus vLLM

Run Python functions on NVIDIA GPUs without provisioning instances; cold starts in seconds

Pay for actual GPU runtime at sub-minute granularity, with scale-to-zero by default

Define environments in code, with automatic image building and caching

From T4 and L4 through A100, L40S, H100, H200 and B200